Facial Recognition Can Identify People From a Single Picture

Emerging facial recognition technology like PolarRose.com, combined with web search engines; image and video hosting sites ( like Flickr.com and YouTube.com ) and map sites ( like Google Maps and Google Earth ), will bring about the next major advancements in doing powerful people searches online.

A new development in the area of facial recognition comes from Hung-Son Le, a computer scientist and doctoral student at the UmeƄ University in Sweden, who has created a computer algorithm that allows for the successful facial recognition of people from a single picture.

The recognition technology can automatically create other images of a person’s face from a single digital picture, using multiple angles, lighting conditions and facial expressions – potentially creating thousands of image variations from a single picture.

According to Hung-Son Le, current facial recognition technology is inefficient because it requires a large number of images for one person under different conditions. This technology can simulate all of these conditions from a single image.

Some commercial applications for this technology are already in the works.

This new development could have powerful implications for the practical use of facial recognition technology in law enforcement; personal and national security issues; finding missing persons and doing successful online people searches.

This new development could have powerful implications for the practical use of facial recognition technology in law enforcement; personal and national security applications; finding missing persons and doing successful online people searches.

Sources: primidi.com, umu.se